Francesca Dalia Faraci

1.7k citations
30 papers · 1.1k indexed · 1 hit paper · h-index 11

Francesca Dalia Faraci

23 papers receiving 1.0k citations

Hit Papers

Addressing bias in big data and AI for health care: A cal...20212026202220242021100200300

Peers

Francesca Dalia Faraci
Comparison fields: 5 of 126
  • Cognitive Neuroscience 393
  • Health Informatics 205
  • Biomedical Engineering 186
  • Cellular and Molecular Neuroscience 185
  • Physiology 137
Replace Yi Xie with:
Yi Xie China
Daniel Morillo Spain
Murat Akçakaya United States
Ryan Runge United States
Jahmunah Vicnesh Singapore
Thomas E. Doyle Canada
Evanthia E. Tripoliti Greece
Hui Wen Loh Singapore
Łukasz Kidziński United States
Pieter Kubben Netherlands
Francesca Dalia Faraci relative to Yi Xie China Yi Xie's profile →
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Countries citing papers authored by Francesca Dalia Faraci

Since Specialization
Citations

This map shows the geographic impact of Francesca Dalia Faraci's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Francesca Dalia Faraci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Dalia Faraci more than expected).

Fields of papers citing papers by Francesca Dalia Faraci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca Dalia Faraci. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Francesca Dalia Faraci. The network helps show where Francesca Dalia Faraci may publish in the future.

Co-authorship network of co-authors of Francesca Dalia Faraci

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Dalia Faraci. A scholar is included among the top collaborators of Francesca Dalia Faraci based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesca Dalia Faraci. Francesca Dalia Faraci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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13 24
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15 72
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Addressing bias in big data and AI for health care: A call for open sciencebreakdown →
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About Francesca Dalia Faraci

Francesca Dalia Faraci is a scholar working on Health Informatics, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Obstructive Sleep Apnea Research (8 papers) and ECG Monitoring and Analysis (5 papers). The work is most often cited by research in Health Informatics (205 citations), Cognitive Neuroscience (393 citations) and Cellular and Molecular Neuroscience (185 citations). Francesca Dalia Faraci has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Athina Tzovara, Natalia Norori, Florence M. Aellen, Qiyang Hu, Luigi Fiorillo, Paolo Favaro, Claudio L. Bassetti, Panagiotis Bargiotas, Pietro‐Luca Ratti and Alessandro Puiatti. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports and IEEE Journal of Solid-State Circuits.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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